Daniel Edgington-Mitchell

3.3k total citations
120 papers, 2.6k citations indexed

About

Daniel Edgington-Mitchell is a scholar working on Computational Mechanics, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel Edgington-Mitchell has authored 120 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Computational Mechanics, 86 papers in Aerospace Engineering and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel Edgington-Mitchell's work include Aerodynamics and Acoustics in Jet Flows (73 papers), Fluid Dynamics and Turbulent Flows (60 papers) and Computational Fluid Dynamics and Aerodynamics (43 papers). Daniel Edgington-Mitchell is often cited by papers focused on Aerodynamics and Acoustics in Jet Flows (73 papers), Fluid Dynamics and Turbulent Flows (60 papers) and Computational Fluid Dynamics and Aerodynamics (43 papers). Daniel Edgington-Mitchell collaborates with scholars based in Australia, United States and France. Daniel Edgington-Mitchell's co-authors include Julio Soria, Damon Honnery, Philip T. Krein, R.M. Bass, Jian Sun, Petrônio A. S. Nogueira, Peter Jordan, Christian Willert, Vincent Jaunet and Aaron Towne and has published in prestigious journals such as Journal of Fluid Mechanics, IEEE Transactions on Power Electronics and The Journal of the Acoustical Society of America.

In The Last Decade

Daniel Edgington-Mitchell

114 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Edgington-Mitchell Australia 26 1.5k 1.5k 758 320 278 120 2.6k
Y. H. Qian United States 5 4.2k 2.7× 665 0.4× 1.9k 2.6× 262 0.8× 61 0.2× 9 4.5k
Christos E. Frouzakis Switzerland 31 2.3k 1.5× 930 0.6× 192 0.3× 122 0.4× 109 0.4× 94 2.9k
Guobiao Cai China 26 887 0.6× 1.9k 1.2× 427 0.6× 276 0.9× 182 0.7× 308 3.0k
Hans-Jörg Bauer Germany 23 1.2k 0.8× 936 0.6× 199 0.3× 1.0k 3.2× 45 0.2× 170 2.0k
Hossein Zare‐Behtash United Kingdom 24 1.1k 0.7× 1.0k 0.7× 263 0.3× 112 0.3× 36 0.1× 87 1.8k
Jack J. McNamara United States 29 1.9k 1.3× 1.1k 0.7× 134 0.2× 129 0.4× 376 1.4× 138 2.8k
Daniel J. Duke United States 21 998 0.7× 357 0.2× 197 0.3× 101 0.3× 31 0.1× 81 1.4k
S.W. Rienstra Netherlands 22 835 0.5× 1.3k 0.9× 113 0.1× 54 0.2× 78 0.3× 69 1.7k
R. Rajagopalan United States 23 418 0.3× 412 0.3× 181 0.2× 52 0.2× 132 0.5× 102 1.4k
Dazhi Yu United States 15 1.9k 1.2× 378 0.2× 930 1.2× 172 0.5× 23 0.1× 24 2.1k

Countries citing papers authored by Daniel Edgington-Mitchell

Since Specialization
Citations

This map shows the geographic impact of Daniel Edgington-Mitchell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Edgington-Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Edgington-Mitchell more than expected).

Fields of papers citing papers by Daniel Edgington-Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Edgington-Mitchell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Edgington-Mitchell. The network helps show where Daniel Edgington-Mitchell may publish in the future.

Co-authorship network of co-authors of Daniel Edgington-Mitchell

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Edgington-Mitchell. A scholar is included among the top collaborators of Daniel Edgington-Mitchell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Edgington-Mitchell. Daniel Edgington-Mitchell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Edgington-Mitchell, Daniel, et al.. (2025). Vortices, shocks and non-linear acoustic waves: the ingredients for resonance in impinging compressible jets. Journal of Fluid Mechanics. 1015.
2.
Nogueira, Petrônio A. S., et al.. (2025). Manifestation of screech modes in non-axisymmetric jets. Journal of Fluid Mechanics. 1004. 1 indexed citations
3.
Nogueira, Petrônio A. S., et al.. (2024). On the Generation and Propagation of Guided Jet Waves.
5.
Edgington-Mitchell, Daniel, et al.. (2024). Mechanisms of Tone Generation in Impinging Supersonic Jets. 1 indexed citations
6.
Rodríguez, Daniel, et al.. (2023). On the preferred flapping motion of round twin jets. Journal of Fluid Mechanics. 977. 7 indexed citations
7.
Nogueira, Petrônio A. S., Vincent Jaunet, Matteo Mancinelli, Peter Jordan, & Daniel Edgington-Mitchell. (2022). Closure mechanism of the A1 and A2 modes in jet screech. Iris (Roma Tre University). 39 indexed citations
8.
Paschereit, Christian Oliver, et al.. (2022). Numerical and experimental evaluation of shock dividers. Shock Waves. 32(2). 195–211. 5 indexed citations
9.
Oevermann, Michael, et al.. (2022). Diffraction of shock waves through a non-quiescent medium. Journal of Fluid Mechanics. 944. 5 indexed citations
10.
Samimy, Mo, et al.. (2021). Intermittent modal coupling in screeching underexpanded circular twin jets. Journal of Fluid Mechanics. 910. 17 indexed citations
11.
Honnery, Damon, et al.. (2020). Influence of pressure transducer protrusion depth on pressure measurements of shock waves in shock tubes. Review of Scientific Instruments. 91(10). 106101–106101. 2 indexed citations
12.
Jordan, Peter, et al.. (2020). Azimuthal decomposition of the radiated noise from supersonic shock-containing jets. The Journal of the Acoustical Society of America. 148(4). 2015–2027. 7 indexed citations
13.
Duke, Daniel J., et al.. (2019). A low-cost high-speed CMOS camera for scientific imaging. Measurement Science and Technology. 30(7). 75403–75403. 11 indexed citations
14.
Edgington-Mitchell, Daniel. (2019). Aeroacoustic resonance and self-excitation in screeching and impinging supersonic jets – A review. International Journal of Aeroacoustics. 18(2-3). 118–188. 155 indexed citations
15.
Jordan, Peter, et al.. (2019). Impact of coherence decay on wavepacket models for broadband shock-associated noise in supersonic jets. Journal of Fluid Mechanics. 863. 969–993. 11 indexed citations
16.
Edgington-Mitchell, Daniel, et al.. (2019). Mechanics of the influx phase in the jet regurgitant mode of a powered resonance tube. International Journal of Aeroacoustics. 18(2-3). 279–298. 2 indexed citations
17.
Zhao, Hui, Daniel J. Duke, Daniel Edgington-Mitchell, et al.. (2019). Effect of turbulence on drop breakup in counter air flow. International Journal of Multiphase Flow. 120. 103108–103108. 12 indexed citations
18.
Edgington-Mitchell, Daniel, Vincent Jaunet, Peter Jordan, et al.. (2018). FLM volume 855 Cover and Front matter. Journal of Fluid Mechanics. 855. f1–f4. 1 indexed citations
19.
Niner, Sara, et al.. (2018). How development happens: Safe and sustainable energy, community development projects, and implementation challenges in Timor‐Leste. Annals of Anthropological Practice. 42(2). 68–80. 1 indexed citations
20.
Soria, Julio, et al.. (2018). An experimental investigation of coupled underexpanded supersonic twin-jets. Experiments in Fluids. 59(9). 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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